Job DescriptionJoin us as we pursue our ground-breaking vision to make machine data accessible, usable, and valuable to everyone. We are a company filled with people who are passionate about our product and seek to deliver the best experience for our customers. At Splunk, we are committed to our work, customers, having fun, and most significantly to each other’s success.  The Splunk Observability Cloud provides full-fidelity monitoring and troubleshooting across infrastructure, applications, and user interfaces, in real-time and at any scale, to help our customers keep their services reliable, innovate faster, and deliver great customer experiences. Infrastructure Software Engineers at Splunk are cloud-native systems engineers who use infrastructure-as-code, microservices, automation, and efficient design to build, operate, and scale our products. Role:Be part of a team whose mission is to build turnkey Infrastructure Monitoring solutions for the Observability platform customers. You will be responsible for building key “out of the box content” for our customers, viz. Dashboards, Navigators, Alerts and Detectors. These products enable our customers faster time to value and in-turn grow our business. You will be responsible to maintain and provision the base infrastructure including cloud compute platforms, managed services, Kubernetes, and required tooling. You are passionate about automation, infrastructure-as-code, microservices, and getting rid of tedious, manual tasks.  Responsibilities:Be a team leader by owning complete outcomes and running processesExtend and expand the capabilities of the Infrastructure Monitoring platform through code, complex configuration, and reusable customizationCollaborate with product management, sales, designers, and other customer facing team members understand the solutions our customers need and bring them to lifeWork with the team responsible for getting Infrastructure Monitoring data in to allow you to build out pre-configured Detectors, Charts, Dashboards, Navigators, and other visual representations of that dataSetup test data sources from various infrastructure services to feed into the testing, and release of the out of the box contentResearch and Adopting new cloud-native frameworks and technologies, or existing ones as these evolve in terms of usage to recommend out-of-the-box content / visualization as turnkey solutionsDeveloping code for tools and automation to improve operational efficiency, reduce manual tasks and reduce human errorAutomating cloud provider infrastructure via Terraform, Kubernetes, and Helm Qualifications:8+ years of total experience, with at least 3+ years of strong hands-on experience deploying, managing, and monitoring large-scale Kubernetes clusters in the public cloudExperience working closely with product management on customer facing solutionsExperience installing and maintaining infrastructure services in cloud and non-cloud environmentsProficiency in Python, Go, Java, or similar languages for scripting automation and system managementExperience with AWS (must), GCP, and Azure cloud service providersExperience with Infrastructure-as-Code using Terraform and/or Helm.Experience with infrastructure automation and scripting using Python and/or bash scripting.Understanding and implementation of CI/CD practices using tools like Jenkins, GitLab CI, or Azure DevOpsAbility to define infrastructure configurations using code for consistency and automationExcellent problem-solving, triaging, and debugging skills in large-scale distributed systemsWillingness to learn new technologies and adapt to changing environments is criticalExposure to monitoring tools such as Splunk, Prometheus, Grafana, ELK stack, etc. in order to build observability for large-scale microservice deployments is a BIG plus.Proven skills to effectively work across teams and functions to influence the design, operations, and deployment of highly available software.Typically requires a bachelor’s degree in Computer Science or Engineering, or a master’s degree in CS/Engineering, or equivalent practical working experience We value diversity, equity, and inclusion at Splunk and are an equal employment opportunity employer. Qualified applicants receive consideration for employment without regard to race, religion, color, national origin, ancestry, sex, gender, gender identity, gender expression, sexual orientation, marital status, age, physical or mental disability or medical condition, genetic information, veteran status, or any other consideration made unlawful by federal, state, or local laws. We consider qualified applicants with criminal histories, consistent with legal requirements.

Note:

Base Pay Range

India

Base Pay: INR 3,200,000.00 - 4,400,000.00 per year

Splunk provides flexibility and choice in the working arrangement for most roles, including remote and/or in-office roles. We have a market-based pay structure which varies by location. Please note that the base pay range is a guideline and for candidates who receive an offer, the base pay will vary based on factors such as work location as set out above, as well as the knowledge, skills and experience of the candidate. In addition to base pay, this role is eligible for incentive compensation and may be eligible for equity or long-term cash awards.

Benefits are an important part of Splunk's Total Rewards package. This role is eligible for a comprehensive, competitive benefits package which may include healthcare and retirement plans, paid time off, wellbeing expense reimbursement, and much more! Learn more about our next-level benefits at https://splunkbenefits.com.

Thank you for your interest in Splunk!